AR108473A1 - Sistema y método para detectar enfermedades de plantas - Google Patents

Sistema y método para detectar enfermedades de plantas

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Publication number
AR108473A1
AR108473A1 ARP170101276A ARP170101276A AR108473A1 AR 108473 A1 AR108473 A1 AR 108473A1 AR P170101276 A ARP170101276 A AR P170101276A AR P170101276 A ARP170101276 A AR P170101276A AR 108473 A1 AR108473 A1 AR 108473A1
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AR
Argentina
Prior art keywords
plant
image
module
color
visual characteristics
Prior art date
Application number
ARP170101276A
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English (en)
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Basf Se
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Publication date
Application filed by Basf Se filed Critical Basf Se
Publication of AR108473A1 publication Critical patent/AR108473A1/es

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G06V20/188—Vegetation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/27—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands using photo-electric detection ; circuits for computing concentration
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0098—Plants or trees
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G06F18/232—Non-hierarchical techniques
    • G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
    • G06F18/24155—Bayesian classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20076—Probabilistic image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30181—Earth observation
    • G06T2207/30188—Vegetation; Agriculture

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Physics (AREA)
  • Chemical & Material Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biochemistry (AREA)
  • Pathology (AREA)
  • Immunology (AREA)
  • Analytical Chemistry (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Probability & Statistics with Applications (AREA)
  • Multimedia (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Wood Science & Technology (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Medical Informatics (AREA)
  • Radiology & Medical Imaging (AREA)
  • Botany (AREA)
  • Quality & Reliability (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

El sistema incluye un modulo de interfaz (110) configurado para recibir una imagen (10) de una planta, en donde la imagen (10) incluye una representación visual (11) de al menos un elemento de la planta (1). Un modulo de normalización de color (120) está configurado para aplicar un método de constancia de color a la imagen recibida (10) para generar una imagen con color normalizado. Un módulo de extracción (130) está configurado para extraer una o más porciones de imagen (11e) de la imagen con color normalizado en donde las porciones de imagen extraídas (11e) corresponden a al menos un elemento de la planta (1). Un módulo de filtrado (140) configurado: para identificar uno o más agrupamientos (C1 a Cn) mediante una o más características visuales dentro de las porciones de imagen extraídas (11e) en donde cada agrupamiento está asociado a una porción del elemento de la planta que muestra características de una enfermedad de la planta; y para filtrar una o más regiones candidatas de uno o más de los agrupamientos identificados (C1 a Cn) de acuerdo con un umbral predefinido, usando un clasificador de Bayes que muestra estadísticas de las características visuales que están siempre presentes en una imagen de la planta enferma. Un módulo de diagnóstico de enfermedad de la planta (150) configurado para extraer, mediante un método de estadística inferencial, de cada región candidata (C4, C5, C6, Cn) una o más características visuales para determinar para cada región candidata una o más probabilidades que indican una enfermedad particular; y para computar una puntuación de confianza (CS1) para la enfermedad particular mediante la evaluación de todas las probabilidades determinadas de las regiones candidatas (C4, C5, C6, Cn).
ARP170101276A 2016-05-13 2017-05-12 Sistema y método para detectar enfermedades de plantas AR108473A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP16169719 2016-05-13

Publications (1)

Publication Number Publication Date
AR108473A1 true AR108473A1 (es) 2018-08-22

Family

ID=56068688

Family Applications (1)

Application Number Title Priority Date Filing Date
ARP170101276A AR108473A1 (es) 2016-05-13 2017-05-12 Sistema y método para detectar enfermedades de plantas

Country Status (9)

Country Link
US (1) US11037291B2 (es)
EP (1) EP3455782B1 (es)
CN (1) CN109154978B (es)
AR (1) AR108473A1 (es)
AU (1) AU2017264371A1 (es)
BR (1) BR112018072122A8 (es)
CA (1) CA3021795A1 (es)
RU (1) RU2018142757A (es)
WO (1) WO2017194276A1 (es)

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Publication number Publication date
EP3455782B1 (en) 2020-07-15
RU2018142757A (ru) 2020-06-15
BR112018072122A2 (pt) 2019-02-12
CA3021795A1 (en) 2017-11-16
WO2017194276A9 (en) 2018-07-26
US20200320682A1 (en) 2020-10-08
CN109154978A (zh) 2019-01-04
RU2018142757A3 (es) 2020-08-19
WO2017194276A1 (en) 2017-11-16
AU2017264371A1 (en) 2018-11-01
EP3455782A1 (en) 2019-03-20
CN109154978B (zh) 2023-04-11
BR112018072122A8 (pt) 2023-04-04
US11037291B2 (en) 2021-06-15

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